Security Scan Report: 9hg9f.eu.cc

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is eu.cc and was registered 29 years ago.

Submitted URL: https://9hg9f.eu.cc/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake WhatsApp Safety Center on an unrelated domain, using device-linking and human-verification language to solicit phone numbers and verification codes. Avoid interaction.

Risk Factors (5)
Brand impersonation of WhatsApp on a mismatched domain
Fake WhatsApp Safety Center verification page
Requests phone number and verification code for device linking
Random-looking subdomain under eu.cc
Network IDS alert for .cc TLD potentially bad traffic
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

The domain name '9hg9f.eu.cc' uses the .cc country-code top-level domain and includes subdomain '9hg9f'. The core label 'eu' covers 2 characters containing two vowels alongside 0 consonants. Segmentation suggests one word: eu. No strong language cues emerged from the frequency lists.

Screenshot

WhatsApp Safety Center Human verification To help protect your account, please click the button below to complete verification Click to verify

Page Load Overview

2.65s
Total Load Time
306 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:531 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network69% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
69%
technology software
55%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.165.174.134Tokyo, Tokyo, Japan
AS132203Tencent Building, Kejizhongyi Avenue
61--

Detected Technologies3

Nginxv1.24.0
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10071C767A2519133021B0FCE61A2625430E6820EDA89285C9BFB43A85FF2DB06D2D069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:jK1f0yw9UCQT4Bmho6LwrwWg2EVl9DIktiUuKbBx:jK1f0y6Veo6lIcl9bpDX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3629:QEwAAEI0QIAAgoIAgIEAAAaAFgIABEBgREEIBQAEBCAQQgBCAAAAAgQEgEDJBgIGAEgAAAARAICYAggIaIAQBQQlAQADAQAH

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e6feeee6e6fefefe
Perceptual Hash:d57388dc227388dd
Difference Hash:0a120a4e0a323232
Wavelet Hash:c0d8c0c0dadadede
Color Hash:N/A

Other Hashes

Crop Resistant:0a120a4e0a323232

Scan History

Scan history not available

Unable to load historical scan data